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motivated Research Engineer skilled in computational modeling and basic laboratory techniques to join our dynamic laboratory team. We are working on multiple tissue engineering projects for improving human
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Research work as part of a thesis funded by the ANR COMPET project Where
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involving Fluid Dynamics. Demonstrable affinity with studying the physics of the ocean and preferably with polar oceanography. Experience with numerical modelling. Excellent ability to communicate in both
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) and Chemical C Computational (CC) teams at UM6P. The work aims to develop robust computational models to capture the Multiphysics behavior— including fluid flow, heat transfer, and reaction dynamics
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computational fluid dynamics software and modeling tools to simulate and study fluid flow through porous electrode, membranes, electrode membrane assembly (MEA) for electrolysis and fuel cells will be an asset
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Computational Fluid Dynamics (CFD) solvers into Python-based AI frameworks (e.g., PyTorch, JAX) to enable high-efficiency, scalable simulations of aerosol transport systems. The developed model will incorporate
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, Chemical Physics , Condensed Matter Physics , Fluid Physics , Optical Physics , Plasma Physics , Quantum Computing , Quantum Information , Quantum Information Physics Biology / Biodiversity , Cell Biology
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-leading groups in this field. The interdisciplinary research carried out in the group ranges from fundamental work in physical acoustics and fluid dynamics to the applications in biomedicine. The group
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changes), Computer Science and Informatics (Numerical Analysis; simulation, optimization and modelling tools; Computational Fluid Dynamics (CFD)), Product and Processes Engineering (Space Engineering
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the University of Texas System Science and Technology Acquisition and Retention (STARs, https://www.utsystem.edu/offices/academic-affairs/stars-program) program to support the establishment of new research